1 citations · 3 across the 7 of their papers we have counts for
7 papers · 1 filter
CoCoScale: Leveraging Layer-wise Scaling to Unlock the Potential of Online LLM Serving
Jingfeng Wu, Yiyuan He, Minxian Xu +7
Online large language model (LLM) serving has become the backbone of modern AI applications, powering diverse downstream services through shared hardware clusters. However, modern…
BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure
Yiyuan He, Minxian Xu, Jingfeng Wu +7
Large language models (LLMs) are increasingly deployed in AI infrastructure, driving the need for high throughput, resource efficient serving systems. Disaggregated LLM serving, wh…
Cloud Native System for LLM Inference Serving
Minxian Xu, Junhan Liao, Jingfeng Wu +3
Large Language Models (LLMs) are revolutionizing numerous industries, but their substantial computational demands create challenges for efficient deployment, particularly in cloud…
Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling
Jingfeng Wu, Yiyuan He, Minxian Xu +3
The rise of large language models (LLMs) has created new opportunities across various fields but has also introduced significant challenges in resource management. Current LLM serv…
UELLM: A Unified and Efficient Approach for LLM Inference Serving
Yiyuan He, Minxian Xu, Jingfeng Wu +3
In the context of Machine Learning as a Service (MLaaS) clouds, the extensive use of Large Language Models (LLMs) often requires efficient management of significant query loads. Wh…
CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications
Jingfeng Wu, Minxian Xu, Yiyuan He +2
Cloud-native applications are increasingly becoming popular in modern software design. Employing a microservice-based architecture into these applications is a prevalent strategy t…
Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions
Yongkang Dang, Minxian Xu, Kejiang Ye
The widespread adoption of the large language model (LLM), e.g. Generative Pre-trained Transformer (GPT), deployed on cloud computing environment (e.g. Azure) has led to a huge inc…